Update README.md

README.md

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 **Trained on:** 813,837 public birth and infant death records from Indiana (2010–2020)
 
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 ## 🔬 Research Context
 
 These models were developed as part of the research paper:  
 **"Predictive Modeling of Maternal Morbidity: Insights from a Decade of Regional Birth Data (2010–2020)"**  
 Published on ResearchGate, May 2025.  
-📄 DOI: *[insert DOI here]*
+📄 DOI: [http://dx.doi.org/10.13140/RG.2.2.26163.13608](http://dx.doi.org/10.13140/RG.2.2.26163.13608)
 
 The study investigates the use of machine learning to predict maternal birth complications using administrative birth record data. The work focuses on model interpretability, sensitivity to rare events, and the challenges posed by missing socioeconomic indicators in public health datasets.
 
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 ## 📌 Overview
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-## 🔬 Research Context
-
-These models were developed as part of the research paper:  
-**"Predictive Modeling of Maternal Morbidity: Insights from a Decade of Regional Birth Data (2010–2020)"**  
-Published on ResearchGate, May 2025.  
-📄 DOI: [http://dx.doi.org/10.13140/RG.2.2.26163.13608](http://dx.doi.org/10.13140/RG.2.2.26163.13608)
-
-The study investigates the use of machine learning to predict maternal birth complications using administrative birth record data. The work focuses on model interpretability, sensitivity to rare events, and the challenges posed by missing socioeconomic indicators in public health datasets.
 
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